Technical Program Manager working at Sift intersection of technical implementation and customer success. Delivering maximum value to sophisticated engineering organizations with a robust platform.
About the role
- Coordinate multiple workstreams with internal engineers, data scientists, and external customer teams.
- Keep everyone aligned — proactively communicate updates, risks, and next steps across functions and time zones.
- Unblock issues quickly by finding creative paths forward using the tools, people, and information available.
- Lead short-term technical projects to deploy and integrate our AI platform within enterprise environments.
- Debug and troubleshoot customer issues in real time — from data ingestion to model inference and API integrations.
- Rapidly prototype or configure creative solutions using our existing tools, SDKs, and APIs.
- Collaborate with Product and Engineering to identify feature gaps and influence roadmap priorities based on field learnings.
- Serve as the technical point of contact during deployment or pilot phases.
- Translate customer objectives into actionable, time-bound technical plans.
- Deliver technical clarity and confidence during high-stakes customer engagements.
- Dive into technical details when needed: debug integrations, validate data flows, test features, and write clear engineering tickets or documentation.
- Use existing APIs, scripts, and workflows to prototype or patch together practical solutions.
- Continuously apply AI tools (e.g., for summarization, debugging, code generation, documentation, or workflow automation) to move faster and smarter.
- Build credibility through competence and calm under pressure.
- Use soft power to align internal and external stakeholders — whether convincing a customer to adjust scope or persuading an engineering team to re-prioritize.
- Frame trade-offs clearly and help everyone focus on what drives the greatest value fastest.
Requirements
- 5+ years of experience in Technical Program Management, Forward Deployed Engineering, or Customer Engineering roles in SaaS or AI-related companies.
- Deep comfort operating across technical and non-technical domains; ability to talk APIs one minute and business impact the next.
- Strong debugging and troubleshooting instincts — you don’t stop at identifying a problem; you help find or prototype a fix.
- Exceptional communication and stakeholder management skills — written, verbal, and async.
- Proven ability to influence, negotiate scope, and align teams in high-stakes, fast-moving environments.
- Daily use of AI tools in your workflow; ideally, you’re AI-native — comfortable prompting, automating, and leveraging models creatively.
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